Muhammad Awais
Учасник із 2022
Золота ліга
Кількість балів: 53105
Level 1 : Getting Started with GCP
Earned квіт. 5, 2024 EDT
Level 3: GenAIus Careers
Earned квіт. 3, 2024 EDT
The Arcade Trivia April 2024 Week 1
Earned квіт. 3, 2024 EDT
The Arcade Trivia March 2024 Week 4
Earned бер. 23, 2024 EDT
The Arcade Skills Splash
Earned бер. 23, 2024 EDT
The Arcade Trivia March 2024 Week 3
Earned бер. 22, 2024 EDT
The Arcade Trivia March 2024 Week 2
Earned бер. 16, 2024 EDT
The Arcade Certification Zone March 2024
Earned бер. 13, 2024 EDT
Level 3: GenAIus Heroes
Earned бер. 4, 2024 EST
Level 2: Kubernetes
Earned бер. 3, 2024 EST
Level 1: Load Balancers
Earned бер. 2, 2024 EST
The Arcade Trivia March 2024 Week 1
Earned бер. 2, 2024 EST
The Arcade Trivia February 2024 Week 4
Earned лют. 20, 2024 EST
The Arcade Certification Zone
Earned лют. 20, 2024 EST
Build a Certification Study Guide: PDE Exam Prep
Earned лют. 19, 2024 EST
Scaling with Google Cloud Operations
Earned лют. 19, 2024 EST
Redis and Google Cloud Game Day
Earned лют. 14, 2024 EST
Trust and Security with Google Cloud
Earned лют. 14, 2024 EST
The Arcade Trivia February 2024 Week 3
Earned лют. 14, 2024 EST
Arcade Carnival
Earned лют. 10, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned лют. 10, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned лют. 10, 2024 EST
Exploring Data Transformation with Google Cloud
Earned лют. 10, 2024 EST
Digital Transformation with Google Cloud
Earned лют. 10, 2024 EST
The Arcade Trivia February 2024 Week 2
Earned лют. 7, 2024 EST
The Arcade Trivia February 2024 Week 1
Earned лют. 3, 2024 EST
Level 2: Virtual Machines
Earned лют. 3, 2024 EST
The Basics of Google Cloud Compute
Earned лют. 3, 2024 EST
Generative AI Explorer - Agent Platform
Earned лют. 3, 2024 EST
Level 1: Google Cloud Console
Earned лют. 2, 2024 EST
Level 3: GenAIus Conversations
Earned лют. 2, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська
Earned січ. 31, 2024 EST
Introduction to Responsible AI - Українська
Earned січ. 31, 2024 EST
Introduction to Large Language Models - Українська
Earned січ. 31, 2024 EST
Introduction to Generative AI - Українська
Earned січ. 31, 2024 EST
Create Image Captioning Models
Earned січ. 31, 2024 EST
Transformer Models and BERT Model
Earned січ. 31, 2024 EST
Encoder-Decoder Architecture
Earned січ. 31, 2024 EST
Attention Mechanism
Earned січ. 31, 2024 EST
Introduction to Image Generation
Earned січ. 31, 2024 EST
Introduction to Vertex AI Studio
Earned січ. 31, 2024 EST
Generative AI Fundamentals - Українська
Earned січ. 31, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned січ. 31, 2024 EST
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned січ. 31, 2024 EST
Налаштування середовища для розробки додатка в Google Cloud
Earned січ. 31, 2024 EST
Налаштування Cloud Load Balancing для Compute Engine
Earned січ. 31, 2024 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned січ. 31, 2024 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned січ. 31, 2024 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned січ. 31, 2024 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned січ. 30, 2024 EST
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned черв. 13, 2022 EDT
Set Up a Google Cloud Network
Earned черв. 4, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned черв. 3, 2022 EDT
Build a Secure Google Cloud Network
Earned черв. 2, 2022 EDT
Prepare Data for Looker Dashboards and Reports
Earned черв. 2, 2022 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned черв. 1, 2022 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned трав. 31, 2022 EDT
Create ML Models with BigQuery ML
Earned трав. 31, 2022 EDT
Monitor and Log with Google Cloud Observability
Earned трав. 31, 2022 EDT
Implement DevOps Workflows in Google Cloud
Earned трав. 31, 2022 EDT
Build a Data Warehouse with BigQuery
Earned трав. 30, 2022 EDT
Businesses are flocking to the cloud, and the demand for skilled professionals is skyrocketing. Join the trend and level up your resume with in-demand skills and earn a Google Cloud Credential to showcase your expertise. No experience necessary – get started today!
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Gen AI is spearheading a revolution in careers. Whether you're seasoned or new to the field, Gen AI holds the key to fresh possibilities. Obtaining a Google Cloud credential in this innovative technology can enhance your resume. And the best part? No prior experience is required.
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Hey there! You're invited to game on with the Arcade Trivia for April Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 1 badge!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 4 badge!
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A new skill awaits you at every corner in The Arcade! Game on to get soaked in a skills splashing March in the Cloud and earn a prestigious Google Cloud Credential and 2 Arcade Points!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 3 badge!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 2 badge!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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Employers are actively seeking skilled Gen AI experts! Develop your expertise in the Cloud by gaining hands-on experience with tools and technologies that can be used to full effect by the application of Gen AI. Master core concepts and prepare yourself for the future in this field while earning a Google Cloud Credential! No prior experience needed!
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Kubernetes is a crucial open-source platform for automating the deployment and management of containerized applications, addressing the increasing demand for efficient resource utilization and scalability in the future of software development. Level up by acquiring this sought-after skill and earning a Google Cloud Credential!
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Navigate the Console, strategize under pressure & conquer the traffic surge! Become a master of load balancers & earn a Google Cloud Credential. No experience? No problem!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 1 badge!
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Hey there! You're invited to game on with the Arcade Trivia for February Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the February Trivia Week 4 badge!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. This course explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Welcome Gamers! You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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As organizations move their data and applications to the cloud, they must address a rapidly evolving landscape of security challenges. This course explores the foundations of cloud security, the value of Google Cloud’s secure-by-design infrastructure, and the defense-in-depth strategy, while highlighting how AI-driven operations and compliance tools help organizations meet strict global regulatory requirements.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Hey there! You're invited to game on with the Arcade Trivia for February Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the February Trivia Week 3 badge!
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Pup and Kit's next adventure awaits them in the Carnival. Follow them on their journey and pick up a Google Cloud Credential on the way! No prior experience needed.
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Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology is a powerful asset, and when paired with data, it becomes a catalyst for innovation and enhanced customer experiences. Exploring Data Transformation with Google Cloud examines how organizations can leverage the cloud to make their data more accessible, actionable, and valuable.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Digital transformation is a critical journey for modern organizations, and establishing a strong baseline in cloud computing is the first step toward driving meaningful innovation. Digital Transformation with Google Cloud introduces the core technologies and strategic frameworks that help organizations modernize their operations. This course explores fundamental cloud concepts, global network infrastructure, and the shared responsibility model to help leaders navigate their path to the cloud with confidence.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Hey there! You're invited to game on with the Arcade Trivia for February Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the February Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for February Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the February Trivia Week 1 badge!
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A virtual machine is essentially a software emulation of a physical computer. It allows you to run an operating system and associated applications on top of an existing physical machine's hardware, enabling multiple virtualized instances to coexist on the same physical hardware. Learn more about Virtual Machines and earn a Google Cloud credential!
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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The Generative AI Explorer - Agent Platform course is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the Gemini models in Agent Platform. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via custom training in Agent Platform and deploy it to an endpoint in Agent Platform.
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Google Cloud Console serves as a centralized hub where users can access and control their cloud infrastructure, services, and applications. It is essential for users, developers, and administrators who work with Google Cloud Platform. Game on to get familiar with Google Cloud Console, and get your hands on a Google Cloud Credential. No prior experience required!
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Prompts are essential for guiding a Gen AI model to generate relevant and desired content. Start GenAIus conversations and earn a Google Cloud credential! No prior experience required!
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Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації.
У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.
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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Gemini Enterprise Agent Platform.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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Щоб отримати кваліфікаційний значок, пройдіть курси "Introduction to Generative AI", "Introduction to Large Language Models" й "Introduction to Responsible AI". Пройшовши завершальний тест, ви підтвердите, що засвоїли основні поняття, які стосуються генеративного штучного інтелекту.
Кваліфікаційний значок – це цифровий значок від платформи Google Cloud, який свідчить, що ви знаєтеся на продуктах і сервісах Google Cloud. Щоб опублікувати кваліфікаційний значок, зробіть свій профіль загальнодоступним, а також додайте значок у профіль у соціальних мережах.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Managed Service for Apache Spark, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.
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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.
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Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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